Quantitative Machine Learning Researcher (PhD in ML / Stats)

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Quantitative Machine Learning Researcher / ML Researcher (PhD in ML / Stats)

We are seeking a Quantitative Machine Learning Researcher / ML Researcher ((PhD in ML / Stats) for our well established international level fintech; growing our very first Machine Learning team with some of the industries brightest minds within ML & NLP. We consider ourselves very much a startup within a larger fintech - our culture supports personal development, flexible working whilst retaining exceptional technical challenges and advanced technology that usually smaller companies are able to supply.

As a Quantitative Machine Learning Researcher / ML Researcher you will join a newly formed team of Software Engineers, Data Scientists and Quantitative Machine Learning Researcher / ML Researchers as we move forward with projects within Question and Answering, Social Media Sentiment & Fake News - we believe the potential of this technology to be industry changing. As a Quantitative Machine Learning Researcher / ML Researcher (Question Answering) you will be interested in running ML experiments using some of the following; NLP, Natural Language Processing, Natural Language Understanding, Neural Networks and will ideally come from a Python or C++ background.

What we can offer a Quantitative Machine Learning Researcher / ML Researcher

* A chance to be a part of some exciting work whilst being part of a company with more job security than a startup.

* A relaxed and informal working environment with very little bureaucracy.

* A place to work on huge technical challenges on a global scale whilst publishing papers

* Strong career progression.

Key Skills Include: Quantitative Machine Learning Researcher / ML Researcher, Researcher, Research, PhD, Publications, Times-Series Forecasting, Gaussian Mixture Modes Machine Learning, ML, AI, Deep Learning, Deep Neural Nets, Natural Language Processing, NLP, Bayesian inference, Bayesian Data, Probabilistic Modelling, Complex Data, Matlab, Python, C++, R, SQL, Mathematics, Statistics, Engineering, Computer Science, Physics, Machine Learning Engineer, Software Engineer